Disparities in infant health in Winnipeg, Manitoba: an ecological approach to maternal circumstances affecting infant health
Bibliographic record
Abstract
Infant health is an important comprehensive measure of the health in a society. Experiences during infancy can create durable and heritable patterns of social deprivation and illness ultimately producing health disparities in a population. This thesis sought to determine the relationship between maternal circumstances and infant mortality, morbidity and congenital anomaly rates in Winnipeg, Manitoba, Canada. Using logistic regression models the study explored provincial program screening data and administrative data held. The study found higher rates of congenital anomalies within two parent families and male infants. There was a relationship between hospital readmission rates and social and economic factors. Newborn hospital readmissions were associated with social support factors, while post-neonatal hospital readmissions were associated with contextual factors. Understanding the odds of infant mortality, morbidity and congenital anomaly in relation to different maternal socioeconomic factors may contribute to future health planning and the development of interventions that can improve health equity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".